Codemotion

Main requirements

Snowflake Experience

The person should be proactive, well-organized, and an effective communicator, able to independently drive tasks forward, keep processes under control, and communicate clearly with the team and stakeholders.

Requirements

Senior Data Enginer

Snowflake — core development

• Writing and maintaining production views, secured views and stored logic in Snowflake
• Understanding of role-based access control: users, roles, GRANTs, warehouse and database entitlement models
• Enough query-tuning instinct to build views over large fact tables without wrecking performance — partition pruning, clustering awareness, avoiding SELECT *

Microsoft SQL Server

• T-SQL development
• Migrating legacy tables, views and stored procedures to Snowflake

Previous ETL Tooling Experience

Bonus Points

BI and semantic layer

• Sigma Computing — connection setup, workbooks, embedding, AI/Cortex configuration. We are rolling Sigma out now and retiring Tableau Desktop.
• Tableau — data source management, extract vs live strategy, extract scheduling and dependency mapping

Documentation and code review

• Producing data-flow and architecture diagrams
• Reviewing SQL/pipeline code to a standard — we have a code review backlog in other areas because there aren’t enough qualified SQL reviewers. A contractor who can act as a second reviewer is disproportionately valuable.

Azure DevOps (aka ADF Pipelines sync’d with Github)

• CI/CD pipelines for database and ADF artefacts, service principal / client secret configuration, release troubleshooting

External API ingestion

• Consuming and loading third-party APIs into the warehouse (e.g. FX/exchange rate feeds), including auth and error handling
• Snowflake Git integration — connecting a Git repository to Snowflake, versioning database objects and deploying from a branch, plus general source-control discipline for SQL and pipeline code
• Snowflake Streamlit — building lightweight in-warehouse data apps as an alternative to a full BI workbook where the audience is small or the use case is operational
• Python for data engineering and Snowpark
• Snowflake Cortex / LLM-in-warehouse features
• dbt or equivalent transformation tooling (not in use today, but relevant if we modernise)

Working attributes we need

• Comfortable being the second pair of hands on a one-person team — takes a ticket end-to-end without daily direction
• Documents as they go; we are explicitly trying to reduce single-person key-man risk
• Cost-aware: several of our decisions are spend-driven, not purely technical

English - Andvanced

We are looking for a strong Embedded Developer with Product Security experience to join a hands-on project focused on bringing an existing embedded product in line with the EU Cyber Resilience Act (CRA) requirements ahead of the 2027 deadline.

This is not a pure compliance or audit role. You will work directly with firmware, product security, and a large, long-lived codebase alongside an experienced in-house engineering team.

What you will do

• Implement Secure-by-Design / Secure-by-Default practices in firmware;
• Work on authentication, access control, encryption, and attack-surface reduction;
• Implement signed and authenticated firmware updates, including automatic updates, opt-out, and rollback;
• Develop device identity management and PKI integration;
• Implement security logging, monitoring, and secure data deletion;
• Set up machine-readable SBOM tooling and integrate it into the build process;
• Establish vulnerability triage and remediation workflows;
• Support security fixes that can be released independently from functional releases;
• Perform firmware security testing, including fuzzing and penetration testing;
• Use AI assistants to understand unfamiliar parts of the codebase, trace data flows, and identify security risks;
• Create technical documentation covering architecture, risk assessment, and SBOM references.

What we are looking for

• Strong hands-on experience with C/C++;
• Solid Embedded Linux experience;
• Experience with Yocto;
• Proven product security experience on shipped hardware;
• Practical knowledge of Secure Boot, firmware signing, and secure firmware updates;
• Experience with PKI and device identity;
• Experience with vulnerability triage, remediation, coordinated disclosure, and security advisories;
• Experience with firmware fuzzing and penetration testing;
• IoT or Industrial Control Security experience is highly desirable;
• Comfortable working in a large legacy codebase;
• Experience using AI assistants as part of everyday engineering workflows.

Tech Stack

C, C++, Embedded Linux, Yocto, PKI, Secure Boot, Firmware Signing, SBOM, Fuzzing, Penetration Testing

ONLY LATAM REGION

Founding Software Engineer (Full-Stack, Frontend-heavy)
Fully Remote

About the role

We’re looking for a hands-on Founding Software Engineer who wants real ownership from day one. You’ll work closely with the founding team, shape the product, and have a direct impact on both technical decisions and user experience.

This is a full-stack role with a strong frontend focus. Ideal for someone who enjoys moving fast, solving complex problems, and building products end-to-end.

Responsibilities

• Build and improve core product features using Next.js, JavaScript/TypeScript, and Python
• Own frontend architecture and deliver high-quality, performant user interfaces
• Collaborate closely with the team on product decisions and technical direction
• Move quickly, iterate based on feedback, and ship meaningful improvements
• Contribute to both frontend and backend as needed

Requirements

• Strong experience with Next.js and modern JavaScript/TypeScript
• Solid full-stack skills (comfortable with Python on the backend)
• Proven experience building real products (not just features)
• Ability to work independently and take ownership
• Comfortable in a fast-paced, early-stage environment

Nice to have

• Experience in early-stage startups or founding teams
• Strong product sense and attention to UX details
• Familiarity with modern frontend tooling and best practices

What we offer

• Fully remote work
• Real ownership and influence from day one
• Direct impact on the product and technical decisions
• Opportunity to shape both the product and engineering culture

If you like building products, moving fast, and having a meaningful impact — we’d love to hear from you.

Main requirements

Snowflake Experience

The person should be proactive, well-organized, and an effective communicator, able to independently drive tasks forward, keep processes under control, and communicate clearly with the team and stakeholders.

Requirements

Senior Data Enginer

Snowflake — core development

• Writing and maintaining production views, secured views and stored logic in Snowflake
• Understanding of role-based access control: users, roles, GRANTs, warehouse and database entitlement models
• Enough query-tuning instinct to build views over large fact tables without wrecking performance — partition pruning, clustering awareness, avoiding SELECT *

Microsoft SQL Server

• T-SQL development
• Migrating legacy tables, views and stored procedures to Snowflake

Previous ETL Tooling Experience

Bonus Points

BI and semantic layer

• Sigma Computing — connection setup, workbooks, embedding, AI/Cortex configuration. We are rolling Sigma out now and retiring Tableau Desktop.
• Tableau — data source management, extract vs live strategy, extract scheduling and dependency mapping

Documentation and code review

• Producing data-flow and architecture diagrams
• Reviewing SQL/pipeline code to a standard — we have a code review backlog in other areas because there aren’t enough qualified SQL reviewers. A contractor who can act as a second reviewer is disproportionately valuable.

Azure DevOps (aka ADF Pipelines sync’d with Github)

• CI/CD pipelines for database and ADF artefacts, service principal / client secret configuration, release troubleshooting

External API ingestion

• Consuming and loading third-party APIs into the warehouse (e.g. FX/exchange rate feeds), including auth and error handling
• Snowflake Git integration — connecting a Git repository to Snowflake, versioning database objects and deploying from a branch, plus general source-control discipline for SQL and pipeline code
• Snowflake Streamlit — building lightweight in-warehouse data apps as an alternative to a full BI workbook where the audience is small or the use case is operational
• Python for data engineering and Snowpark
• Snowflake Cortex / LLM-in-warehouse features
• dbt or equivalent transformation tooling (not in use today, but relevant if we modernise)

Working attributes we need

• Comfortable being the second pair of hands on a one-person team — takes a ticket end-to-end without daily direction
• Documents as they go; we are explicitly trying to reduce single-person key-man risk
• Cost-aware: several of our decisions are spend-driven, not purely technical

English - Andvanced